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Hubert Cecotti, PhD

Affiliations: 
1997-2005 University of Lorraine 
 2008-2009 University of Bremen, Germany, Bremen, Bremen, Germany 
 2010-2010 CNRS Grenoble 
 2011-2013 University of California, Santa Barbara, Santa Barbara, CA, United States 
 2014-2017 Ulster University 
 2017- California State University, Fresno, Fresno, CA, United States 
Area:
Brain Computer Interfaces
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"Hubert Cecotti"
Bio:

Hubert Cecotti received the M.Sc. and Ph.D. degrees in computer science from the University of Lorraine, Lorraine, France, in 2002 and 2005, respectively. He was a Lecturer in computer science with the University Henri Poincare and ESIAL, Nancy, France, in 2006 and 2007. From 2008 to 2013, he was successively a Research Scientist with the Institute of Automation, Bremen University, Bremen, Germany, the Gipsa-Lab CNRS, Grenoble, France, and the University of California Santa Barbara, Santa Barbara, CA, USA, where he was involved in electroencephalography signal processing and machine learning. He was a Lecturer with the School of Computing and Intelligent Systems, Ulster University, Londonderry, U.K. He is now an Associate Professor in the Department of Computer Science in the College of Science and Mathematics at Fresno State, Fresno, California, USA. His current research interests include neural networks, pattern recognition, and brain–computer interfaces.

Mean distance: 16.72 (cluster 60)
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Parents

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Abdel Belaid grad student 2002-2005 University of Lorraine
Barry Giesbrecht post-doc 2011-2013 UC Santa Barbara

Children

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Haider Raza grad student 2014- School of Computing and Intelligent Systems
Yogesh Kumar Meena grad student 2014-2017 Ulster University
Dheeraj Rathee grad student 2015-2018 Ulster University

Collaborators

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Publications

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Cecotti H. (2020) Adaptive Time Segment Analysis for Steady-State Visual Evoked Potential Based Brain-Computer Interfaces. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 28: 552-560
Cecotti H. (2020) Rotation invariant descriptors for galaxy morphological classification International Journal of Machine Learning and Cybernetics. 11: 1839-1853
Raza H, Rathee D, Zhou SM, et al. (2019) Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface. Neurocomputing. 343: 154-166
Cecotti H, Jha G. (2019) 3D Convolutional Neural Networks for Event-Related Potential detection. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2019: 4160-4163
Cecotti H. (2019) Relationships Between Behavioral And Single-Trial Target Detection Performance With Magnetoencephalography. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2018: 9-12
Meena YK, Cecotti H, Wong-Lin K, et al. (2019) Design and evaluation of a time adaptive multimodal virtual keyboard Journal On Multimodal User Interfaces. 13: 343-361
Rathee D, Cecotti H, Prasad G. (2018) Current source density estimates improve the discriminability of scalp-level brain connectivity features related to motor-imagery tasks. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2018: 5093-5096
Rathee D, Cecotti H, Prasad G. (2018) Classification of propofol-induced sedation states using brain connectivity analysis. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2018: 1-4
Meena YK, Cecotti H, Wong-Lin KF, et al. (2018) Towards Optimization of Gaze-Controlled Human-Computer Interaction: Application to Hindi Virtual Keyboard for Stroke Patients. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
Meena YK, Cecotti H, Wong-Lin K, et al. (2018) Toward Optimization of Gaze-Controlled Human-Computer Interaction: Application to Hindi Virtual Keyboard for Stroke Patients. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 26: 911-922
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